Generation of protein sequences and evolutionary alignments via discrete diffusion models
-
Updated
Apr 10, 2024 - Python
Generation of protein sequences and evolutionary alignments via discrete diffusion models
A tool for automated alignment trimming in large-scale phylogenetic analyses. Development version: 2.0
Algorithm for ultra-scale multiple sequence alignments (3M protein sequences in 5 minutes and 24 GB of RAM)
abPOA: an SIMD-based C library for fast partial order alignment using adaptive band
MSA(Multiple Sequence Alignment) visualization python package for sequence analysis
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
Mutual Information Tools for protein Sequence analysis in Julia
Exploring Evolution-aware & free protein language models as protein function predictors
Scalable long read self-correction and assembly polishing with multiple sequence alignment
Fast and accurate protein structure prediction
🧬 MSABrowser: dynamic and fast visualization of sequence alignments, variations, and annotations
React rerelease of MSAViewer
Multiple sequence alignment visualizer
TideHunter: efficient and sensitive tandem repeat detection from noisy long reads using seed-and-chain
Improved RNA Secondary Secondary Structure Prediction using Evolutionary Profile, Mutational Coupling and Two-dimensional Transfer Learning
Cython bindings and Python interface to FAMSA, an algorithm for ultra-scale multiple sequence alignments.
TideHunter: efficient and sensitive tandem repeat detection from noisy long reads using seed-and-chain
Cython bindings and Python interface to MUSCLE v5, a highly efficient and accurate multiple sequence alignment software.
Solving Multiple Sequence Alignment (MSA) problems with multi-objective metaheuristics
Add a description, image, and links to the multiple-sequence-alignment topic page so that developers can more easily learn about it.
To associate your repository with the multiple-sequence-alignment topic, visit your repo's landing page and select "manage topics."